Proposal and Simulation of Double-Pulse Brillouin Optical Time-Domain Analysis for Measuring Distributed Strain and Temperature with cm Spatial Resolution in km-Long Fiber

2007 ◽  
Vol E90-B (7) ◽  
pp. 1810-1815 ◽  
Author(s):  
Y. KOYAMADA
Keyword(s):  
Spatial Resolution ◽  
Time Domain ◽  
Time Domain Analysis ◽  
Domain Analysis ◽  
Double Pulse ◽  
Optical Time ◽  
Distributed Strain

Proposal and simulation of differential double-pulse pair Brillouin optical time-domain analysis

2013 ◽  
Author(s):  
Jianguan Tang ◽  
Wenping Luo ◽  
Beiqing Chen ◽  
Huiyong Guo ◽  
Cui Zhang
Keyword(s):  
Time Domain ◽  
Time Domain Analysis ◽  
Domain Analysis ◽  
Double Pulse ◽  
Pulse Pair ◽  
Optical Time

scholarly journals New BFS Retrieval Technique for Brillouin Optical Time Domain Analysis Sensor System

Electronics ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1334
Author(s):  
Haoyu Wei ◽  
Yongjun Wang ◽  
Qiming Wang ◽  
Xiya Lu ◽  
Hongxin Wu ◽  
...  
Keyword(s):  
Image Denoising ◽  
Spatial Resolution ◽  
Time Domain ◽  
Signal To Noise Ratio ◽  
Experimental System ◽  
Time Domain Analysis ◽  
Domain Analysis ◽  
Sensor System ◽  
Denoising Method ◽  
Optical Time

In this paper, Gaussian smoothing (GS), non-local means (NLM), and Quaternion Wavelet Transform (QWT) have been described in detail. Furthermore, a Brillouin optical time domain analysis (BOTDA) experimental system was built to verify the denoising algorithms. The principal and experimental analyses show that the QWT algorithm is a more efficient image denoising method. The results indicate that the GS algorithm can obtain the highest signal-to-noise ratio (SNR), frequency uncertainty, and Brillouin frequency shift (BFS) accuracy, and can be executed in an imperceptible time, but the GS algorithm has the lowest spatial resolution. After being denoised by using NLM algorithm, although SNR, frequency uncertainty, BFS accuracy, and spatial resolution significantly improved, it takes 40 min to implement the NLM denoising algorithm for a BGS image with 200 × 100,000 points. Processed by the QWT denoising algorithm, although SNR increases to 17.26 dB and frequency uncertainty decreases to 0.24 MHz, a BFS accuracy of only 0.2 MHz can be achieved. Moreover, the spatial resolution is 3 m, which is not affected by the QWT denoising algorithm. It takes less than 32 s to denoise the same raw BGS data. The QWT image denoising technique is suitable for BGS data processing in the BOTDA sensor system.

Short spatial resolution retrieval from a long pulse Brillouin optical time-domain analysis trace

2020 ◽  
Vol 45 (15) ◽  
pp. 4152
Author(s):  
Sheng Wang ◽  
Zhisheng Yang ◽  
Simon Zaslawski ◽  
Luc Thévenaz
Keyword(s):  
Spatial Resolution ◽  
Time Domain ◽  
Time Domain Analysis ◽  
Domain Analysis ◽  
Optical Time ◽  
Long Pulse
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